3D video frame interpolation via adaptive hybrid motion estimation and compensation

Xiaohui Yang; Zhiquan Feng

ICASSP 2016accepted0 citations

3D video frame interpolation via adaptive hybrid motion estimation and compensation

Abstract

This paper proposes a novel motion compensated frame interpolation (MCFI) method based on adaptive hybrid motion estimation and compensation (AHMEC) for 3D video. In our work, we deal with the problem of ghost artifacts around the foreground object boundaries by considering motion and depth information jointly. First, the motion vector field (MVF) of the interpolated frame is estimated using block-based method. We use depth and motion information to distinguish the occlusion areas in the interpolated frame. Then, an adaptive pixel-based motion estimation (ME) method is applied to detail the MVF in the covering and uncovering areas. Simulation results show that the proposed MCFI algorithm outperforms the conventional algorithms in terms of objective and subjective performances.

BibTeX

@inproceedings{icassp2016_3dvideoframeinte,
  title = {3D video frame interpolation via adaptive hybrid motion estimation and compensation},
  author = {Xiaohui Yang and Zhiquan Feng},
  booktitle = {ICASSP 2016},
  year = {2016}
}